Data Mining: Opportunities and Challenges
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
EAN: 2147483647
Year: 2003
Pages: 194
Pages: 194
Authors: John Wang
- Back Cover
- Table of Contents
- Data MiningOpportunities and Challenges
- Preface
- Chapter I: A Survey of Bayesian Data Mining
- SCHOOLS OF STATISTICS
- DATA MODEL
- LOCAL GRAPHICAL MODEL CHOICE
- GLOBAL GRAPHICAL MODEL CHOICE
- NON-CATEGORICAL VARIABLES
- CASE 1: PERSONALIZED MEDIA DISTRIBUTION
- CASE 2: SCHIZOPHRENIA RESEARCH - CAUSALITY IN COMPLEX SYSTEMS
- CONCLUSIONS
- ACKNOWLEDGMENTS
- REFERENCES
- Chapter II: Control of Inductive Bias in Supervised Learning Using Evolutionary ComputationA Wrapper-Based Approach
- BACKGROUND
- METHODOLOGIES
- RESULTS
- ACKNOWLEDGMENTS
- ENDNOTES
- REFERENCES
- Chapter III: Cooperative Learning and Virtual Reality-Based Visualization for Data Mining
- COOPERATIVE DATA MINING
- VISUAL DATA MINING
- THREE-DIMENSIONAL VISUALIZATION, VIRTUAL REALITY AND DATA MINING
- CONCLUSIONS
- REFERENCES
- Chapter IV: Feature Selection in Data Mining
- EVOLUTIONARY LOCAL SELECTION ALGORITHMS (ELSA)
- FEATURE SELECTION IN SUPERVISED LEARNING
- FEATURE SELECTION IN UNSUPERVISED LEARNING
- FEATURE SELECTION FOR ENSEMBLES
- CONCLUSIONS
- ENDNOTES
- REFERENCES
- Chapter V: Parallel and Distributed Data Mining through Parallel Skeletons and Distributed Objects
- PARALLEL AND DISTRIBUTED DATA MINING
- STRUCTURED PARALLEL PROGRAMMING
- STRUCTURED PARALLEL DATA MINING ALGORITHMS
- ADVANTAGES OF STRUCTURE PARALLELISM
- CONCLUSIONS
- REFERENCES
- Chapter VI: Data Mining Based on Rough Sets
- ROUGH SET THEORY
- VARIABLE PRECISION ROUGH SET MODEL (VPRSM)
- DATA MINING SYSTEM LERS
- APPLICATIONS
- CONCLUSIONS
- REFERENCES
- Chapter VII: The Impact of Missing Data on Data Mining
- DATA MINING WITH INCONSISTENT DATAMISSING DATA
- METHODS OF ADDRESSING MISSING DATA
- THE IMPACT OF MISSING DATA ON DATA-MINING ALGORITHMS
- FUTURE TRENDS
- CONCLUSIONS
- REFERENCES
- Chapter VIII: Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps
- RELATED WORK
- GENERATING CLUSTERS
- DEVELOPING THEMATIC HIERARCHIES FOR TEXT DOCUMENTS
- EXPERIMENTAL RESULTS
- FUTURE WORK
- CONCLUSIONS
- REFERENCES
- Chapter IX: The Pitfalls of Knowledge Discovery in Databases and Data Mining
- ORGANIZATIONAL ISSUES
- STATISTICAL ISSUES
- DATA ACCURACY AND STANDARDIZATION
- TECHNICAL ISSUES
- CONCLUSION
- REFERENCES
- Chapter X: Maximum Performance Efficiency Approaches for Estimating Best Practice Costs
- MOTIVATION
- BASIC COST MODELS AND ESTIMATION MODELS
- APPLICATION TO THE DATA
- ESTIMATION CRITERION QUALITY ISSUES
- LIMITATIONS
- EXTENSIONS TO OTHER BASIC COST MODELS
- DATA-MINING APPLICATIONS AND CONSIDERATIONS
- CONCLUSIONS
- REFERENCES
- APPENDIX
- Chapter XI: Bayesian Data Mining and Knowledge Discovery
- THE BAYESIAN APPROACH TO PROBABILITY
- BAYESIAN CLASSIFICATION
- BAYESIAN BELIEF NETWORKS
- MARKOV CHAIN MONTE CARLO TECHNIQUES
- CONCLUDING REMARKS
- ENDNOTES
- REFERENCES
- Chapter XII: Mining Free Text for Structure
- RELATED WORK
- MINING NEWSGROUPS EXPERTISE
- MINING FAQS FOR STRUCTURE
- EVALUATION
- FUTURE TRENDS
- CONCLUSION
- ENDNOTES
- ACKNOWLEDGMENTS
- REFERENCES
- APPENDIX
- Chapter XIII: Query-By-Structure Approach for the Web
- BACKGROUND
- QUERY-BY-STRUCTURE SYSTEMS
- FUTURE TRENDS
- CONCLUSION
- REFERENCES
- Chapter XIV: Financial Benchmarking Using Self-Organizing MapsStudying the International Pulp and Paper Industry
- METHODOLOGY
- COMPANIES INCLUDED
- CONSTRUCTING THE MAPS
- RESULTS
- CONCLUSIONS
- FUTURE RESEARCH IN THIS AREA
- ACKNOWLEDGMENTS
- REFERENCES
- APPENDIX: THE FEATURE PLANES OF THE FINAL MAP
- Chapter XV: Data Mining in Health Care Applications
- DATA MINING IN HEALTH CARE
- COMMUNITY HEALTH INFORMATION NETWORKS (CHINS)
- FINDINGS USING A CASE METHODOLOGY
- HOW THE PLATFORM CAN BE USED
- DATA-MINING IMPLICATIONS: CONTROVERSIES AND ISSUES ASSOCIATED WITH CHINS
- CONCLUSION
- ENDNOTE
- REFERENCES
- Chapter XVI: Data Mining for Human Resource Information Systems
- BACKGROUND
- APPLYING DATA MINING TECHNIQUES TO HR INFORMATION SYSTEMS
- PRACTICAL APPLICATIONS OF DATA MINING HR INFORMATION
- CONCLUSIONS
- REFERENCES
- Chapter XVII: Data Mining in Information Technology and Banking Performance
- DATA ENVELOPMENT ANALYSIS
- THE MODEL
- APPLICATION
- CONCLUSIONS
- REFERENCES
- Chapter XVIII: Social, Ethical and Legal Issues of Data Mining
- WHAT CAN BE INFERRED FROM DATA?
- ETHICAL ISSUES
- SOCIAL IMPLICATIONS
- LEGAL ISSUES
- FUTURE TRENDS
- CONCLUSION
- REFERENCES
- Chapter XIX: Data Mining in Designing an Agent-Based DSS
- USE OF DATA MINING IN DESIGNING THE SYSTEM KNOWLEDGE BASE
- USE OF DATA MINING IN DESIGNING THE LEARNING PROCESS
- MULTIAGENT-BASED ARCHITECTURE FOR THE DYNAMIC DSS
- CONCLUSIONS
- REFERENCES
- Chapter XX: Critical and Future Trends in Data Mining-A Review of Key Data Mining TechnologiesApplications
- TEXT DATA MINING (TDM)
- DISTRIBUTEDCOLLECTIVE DM
- UBIQUITOUS DM (UDM)
- HYPERTEXT AND HYPERMEDIA DATA MINING
- VISUAL DM
- MULTIMEDIA DM
- SPATIAL AND GEOGRAPHIC DM
- TIME SERIESSEQUENCE DM
- DM TRENDS: METHODS AND TECHNIQUES
- DM FOR BIOINFORMATICS
- SUMMARY
- REFERENCES
- Index
- Index A
- Index B
- Index C
- Index D
- Index E
- Index F
- Index G
- Index H
- Index I
- Index J
- Index K
- Index L
- Index M
- Index N
- Index O
- Index P
- Index Q
- Index R
- Index S
- Index T
- Index U
- Index V
- Index W
- Index X-Y
- Index Z
- List of Figures
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
EAN: 2147483647
Year: 2003
Pages: 194
Pages: 194
Authors: John Wang